1. A Survey of Big Data Issues in Electronic Health Record Analysis. Issue 6 (2nd July 2016) Authors: Cyganek, Bogusław; Graña, Manuel; Krawczyk, Bartosz; Kasprzak, Andrzej; Porwik, Piotr; Walkowiak, Krzysztof; Woźniak, Michał Journal: Applied artificial intelligence Issue: Volume 30:Issue 6(2016) Page Start: 497 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets. (September 2016) Authors: Sáez, José A.; Krawczyk, Bartosz; Woźniak, Michał Journal: Pattern recognition Issue: Volume 57(2016:Sep.) Page Start: 164 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Dynamic ensemble selection for multi-class classification with one-class classifiers. (November 2018) Authors: Krawczyk, Bartosz; Galar, Mikel; Woźniak, Michał; Bustince, Humberto; Herrera, Francisco Journal: Pattern recognition Issue: Volume 83(2018:Nov.) Page Start: 34 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams. (March 2019) Authors: Cano, Alberto; Krawczyk, Bartosz Journal: Pattern recognition Issue: Volume 87(2019:Mar.) Page Start: 248 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Fault diagnosis of marine 4-stroke diesel engines using a one-vs-one extreme learning ensemble. (January 2017) Authors: Kowalski, Jerzy; Krawczyk, Bartosz; Woźniak, Michał Journal: Engineering applications of artificial intelligence Issue: Volume 57(2016:Sep.) Page Start: 134 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams. (September 2022) Authors: Korycki, Łukasz; Krawczyk, Bartosz Journal: Pattern recognition Issue: Volume 129(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Learning from imbalanced data sets. ([2018]) Authors: Fernández, Alberto; García, Salvador; Galar, Mikel; Prati, Ronaldo C; Krawczyk, Bartosz; Herrera, Francisco Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Local ensemble learning from imbalanced and noisy data for word sense disambiguation. (June 2018) Authors: Krawczyk, Bartosz; McInnes, Bridget T. Journal: Pattern recognition Issue: Volume 78(2018:Jun.) Page Start: 103 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Multidimensional data classification with chordal distance based kernel and Support Vector Machines. (November 2015) Authors: Cyganek, Bogusław; Krawczyk, Bartosz; Woźniak, Michał Journal: Engineering applications of artificial intelligence Issue: Volume 46:Part A(2015:Oct.) Page Start: 10 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. On optimal settings of classification tree ensembles for medical decision support. (March 2013) Authors: Budnik, Mateusz; Krawczyk, Bartosz Journal: Health informatics journal Issue: Volume 19:Number 1(2013) Page Start: 3 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗